Interviewer/Reasoner Model: An Approach to Improving System Responsiveness in Interactive AI Systems

  • Phillip E. Gerring
  • Edward H. Shortliffe
  • William van Melle

Abstract

Interactive intelligent systems often suffer from a basic conflict between their computationally intensive nature and the need for responsiveness to a user. This paper introduces the Interviewer/Reasoner model, which helps to reduce this conflict. This model partitions an intelligent system into two asynchronous components. The Interviewer's primary function is to gather data while providing an acceptable response time to the user. The Reasoner does most of the symbolic computation for the system. This paper describes the implementation of the model in both timesharing and personal workstation environments, and uses the ONCOCIN system as an example.
Published
1982-12-15
How to Cite
Gerring, P. E., Shortliffe, E. H., & van Melle, W. (1982). Interviewer/Reasoner Model: An Approach to Improving System Responsiveness in Interactive AI Systems. AI Magazine, 3(4), 24. https://doi.org/10.1609/aimag.v3i4.378
Section
Articles